VP Analyst - Cloud- AI & Infrastructure Services; Remote: Canada​/Europe

VP Analyst - Cloud-Based AI & Infrastructure Services (Remote: Canada/ Europe)
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This individual will work remotely with a global team and needs the ability to support C-level clients who themselves are global is key. We are seeking a seasoned technology business leader with specialized experience in cloud operating models and the role of cloud in supporting AI solutions. This role will serve as an authoritative voice in analyzing market trends, forecasting industry developments, and providing actionable insights to clients navigating the rapidly evolving AI landscape for Cloud Services.

The candidate will combine deep technical knowledge of AI technologies in the cloud, with strong business acumen and exceptional research capabilities. Experience may have been with a major hyperscaler, or an IT service provider managing AI solutions on a hyperscaler (cloud) infrastructure.
What you will do
Research and Analysis

Conduct in-depth qualitative and quantitative research on emerging AI technologies and their application in Cloud IT and business services
Design and implement comprehensive market research studies to identify trends, competitive dynamics, and growth opportunities in the AI sector
Develop market forecasts and predictions about AI adoption, implementation challenges, and potential business impacts
Analyze complex datasets to extract meaningful insights into AI market trends, competitor movements, and customer needs
Monitor and evaluate the competitive landscape across cloud and AI vendors, solutions, and service providers

Content Development and Thought Leadership

Create compelling, high-quality research reports and thought leadership content on AI technologies and their business applications for hyperscalers.
Develop frameworks, methodologies, and best practices to help organizations successfully implement cloud and AI solutions
Ideate, scope, and produce forward-looking research that addresses critical challenges faced by business and technology leaders
Prepare and deliver tailored briefings for clients that translate complex technical concepts into actionable business insights
Contribute to research agenda development by identifying emerging areas of interest in AI
Collaborate with Gartner colleagues in the development of research positions related to AI and cloud IT and business services

Client Engagement and Advisory

Serve as a trusted advisor to C-level clients on AI strategy, implementation approaches, and vendor selection for cloud models.
Conduct briefings and advisory sessions to help C-level clients navigate complex AI decisions and investments
Present research findings at industry events, webinars, and client conferences
Build and maintain relationships with industry thought leaders, vendors, and practitioners in the AI space
Support sales teams by providing expert insights during C-level client conversations

What you will need
Technical Knowledge applicable to Cloud Services

Deep understanding of AI technologies including machine learning, natural language processing, and generative AI
Deep understanding of agentic AI, including the application of AI technology to business processes and other enterprise AI solutions
Deep understanding of cloud operating models and the role of cloud in supporting AI solutions at the platform and infrastructure layer

Research And Analytical Skills

Strong qualitative and quantitative research methodology expertise
Advanced analytical thinking and ability to synthesize complex information into clear insights
Experience designing research frameworks and data collection methods
Ability to identify patterns, trends, and correlations in large datasets
Critical thinking skills to question assumptions and validate findings

Business and Industry Knowledge

Comprehensive understanding of IT and business (cloud) services markets
Knowledge of AI implementation challenges across different industries for Cloud Services
Understanding of regional differences in AI capabilities, adoption trends, regulatory requirements, etc for cloud models.
Awareness of ethical, regulatory, and governance issues surrounding AI deployment
Understanding of the impact of AI on enterprise cloud services procurement and decision-making processes
Ability to translate Services technical capabilities into business value propositions

Communication And Presentation Skills

Exceptional writing abilities with experience creating research reports and thought leadership content
Strong presentation skills and ability to communicate complex topics to non-technical audiences
Experience conducting interviews with industry experts and C-level General Managers
Ability to facilitate discussions and working sessions with diverse stakeholder groups
Clear communication of data-driven insights that drive business decisions
Ability to communicate with technology and business leaders

Education And Experience

Bachelor's degree or equivalent…